Search alternatives:
task optimization » based optimization (Expand Search), phase optimization (Expand Search), path optimization (Expand Search)
work optimization » wolf optimization (Expand Search), swarm optimization (Expand Search), dose optimization (Expand Search)
library based » laboratory based (Expand Search)
binary based » linac based (Expand Search), binary mask (Expand Search)
based task » based case (Expand Search), based test (Expand Search)
based work » based network (Expand Search)
task optimization » based optimization (Expand Search), phase optimization (Expand Search), path optimization (Expand Search)
work optimization » wolf optimization (Expand Search), swarm optimization (Expand Search), dose optimization (Expand Search)
library based » laboratory based (Expand Search)
binary based » linac based (Expand Search), binary mask (Expand Search)
based task » based case (Expand Search), based test (Expand Search)
based work » based network (Expand Search)
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41
Collaborative hunting behavior.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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42
Friedman average rank sum test results.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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43
IRBMO vs. variant comparison adaptation data.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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44
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45
Cheminformatics-Guided Cell-Free Exploration of Peptide Natural Products
Published 2024“…To assess the peptide NP space that is directly accessible to current cell-free technologies, we developed a peptide parsing algorithm that breaks down peptide NPs into building blocks based on ribosomal translation logic. …”
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46
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47
Algorithms of Load Balancing in Next-Generation Mobile Netwoks: A systematic literature review
Published 2025“…Through a <b>systematic review following the PRISMA methodology</b>, we analyzed 45 studies from five scientific databases (IEEE Xplore, Scopus, ScienceDirect, SpringerLink, and ACM Digital Library), identifying key patterns:</p><ol><li>The correlation between optimization parameters (latency, throughput, user mobility) and the performance of automatic/hybrid algorithms.…”
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48
Intelligent Selection of Metal–Organic Framework Arrays for Methane Sensing via Genetic Algorithms
Published 2019“…Thus current electronic noses do not achieve optimal detection. In this work, we employ metal–organic frameworks (MOFs) as sensing materials and leverage a genetic algorithm to identify optimal combinations of them for detecting methane leaks in air. …”
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49
Data_Sheet_1_CLGBO: An Algorithm for Constructing Highly Robust Coding Sets for DNA Storage.docx
Published 2021“…In this study, we describe an enhanced gradient-based optimizer that includes the Cauchy and Levy mutation strategy (CLGBO) to construct DNA coding sets, which are used as primer and address libraries. …”
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50
Sample image for illustration.
Published 2024“…<div><p>Feature description is a critical task in Augmented Reality Tracking. This article introduces a Convex Based Feature Descriptor (CBFD) system designed to withstand rotation, lighting, and blur variations while remaining computationally efficient. …”
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51
Comparison analysis of computation time.
Published 2024“…<div><p>Feature description is a critical task in Augmented Reality Tracking. This article introduces a Convex Based Feature Descriptor (CBFD) system designed to withstand rotation, lighting, and blur variations while remaining computationally efficient. …”
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52
Process flow diagram of CBFD.
Published 2024“…<div><p>Feature description is a critical task in Augmented Reality Tracking. This article introduces a Convex Based Feature Descriptor (CBFD) system designed to withstand rotation, lighting, and blur variations while remaining computationally efficient. …”
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53
Precision recall curve.
Published 2024“…<div><p>Feature description is a critical task in Augmented Reality Tracking. This article introduces a Convex Based Feature Descriptor (CBFD) system designed to withstand rotation, lighting, and blur variations while remaining computationally efficient. …”
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54
Quadratic polynomial in 2D image plane.
Published 2024“…<div><p>Feature description is a critical task in Augmented Reality Tracking. This article introduces a Convex Based Feature Descriptor (CBFD) system designed to withstand rotation, lighting, and blur variations while remaining computationally efficient. …”
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55
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56
Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.
Published 2025“…<br><br>Methods<br><br>This work is a quantitative and experimental study of supervised classification. …”
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57
Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
Published 2020“…In this way, for each binary problem, the CSP algorithm produces features to determine if the specific body part is engaged in the task or not. …”
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58
Supporting data for "clinical-oriented surgical planning based on finite element method and automate-generated surgical templates assisting the spinal surgery"
Published 2024“…Remaining algorithm needed was reimplemented from open-source libraries.…”
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59
Models and Dataset
Published 2025“…</p><p dir="ltr"><br></p><p dir="ltr"><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. …”
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60
METAHEURISTICS EVALUATION: A PROPOSAL FOR A MULTICRITERIA METHODOLOGY
Published 2022“…<div><p>ABSTRACT In this work we propose a multicriteria evaluation scheme for heuristic algorithms based on the classic Condorcet ranking technique. …”